Qasem M. Al‐Mdallal
Papers
1
Total Citations
33
H-Index
1
About
Qasem M. Al‐Mdallal is a distinguished applied mathematician whose research spans computational fluid dynamics, fractional calculus, and the mathematical modeling of complex physical and biological systems. His work is characterized by the development of innovative numerical methods and stochastic computational procedures to solve challenging real-world problems. Notably, he has pioneered the use of Gudermannian neural networks (GDMNNs) combined with genetic algorithms and interior-point schemes to model robotic systems, including applications to coronavirus-related dynamics—a contribution that has garnered significant attention. With over 30 citations on this specific work alone, his research demonstrates high impact in bridging artificial intelligence with mathematical modeling. Al‐Mdallal has also made substantial contributions to the study of nanofluid flows, heat transfer, and the analysis of fractional differential equations, often employing analytical and semi-analytical techniques. His work is widely cited across engineering and applied science disciplines, reflecting its relevance to both theoretical advancements and practical applications. Through his rigorous and interdisciplinary approach, Al‐Mdallal continues to influence emerging research in computational mathematics and its role in solving contemporary scientific challenges.
Research Focus
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Top Papers
- 1